Watch this live chat with our second group of teams and participants from the #Hadoop4Good challenge to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications.
Watch this live chat with the teams and participants from the #Hadoop4Good challenge to learn why they chose their projects, hear some of their challenges and delve deeper into the story behind their applications.
SQL-on-Hadoop is a hot topic. As organizations increasingly leverage Hadoop to gain new capabilities and lower costs, it only makes sense that they would seek to leverage technologies compatible with what they have. Few technologies are as ubiquitous as the structured query language when it comes
Big data is everywhere and in everything. It’s infused in phones, cars, roads, power lines, waterways, food crates and innumerable other items you’d never think of as computers. Technology is more powerful and accessible than ever before, but there are still many civic challenges in need of
"Agile development requires agile fingers"
Are you ready for the Big Data for Social Good Hadoop Challenge, powered by IBM + Hadoop? For this global hackathon, IBM will be working closely with City of LA, Boston and San Jose and others where participants will compete to create innovative
In the world of big data, the elephant is king. Hadoop, whose elephant logo has become the face of big data, has been joined in the big data jungle by many friends: Pig, Jaql and even a ZooKeeper to keep them all in line. The entire big data jungle will be making a trip to Las Vegas in October for
Data science has been called the “sexiest job of the 21st century,” and based on the posts you have been devouring on IBM Big Data & Analytics Hub, the old adage “sex sells” definitely applies. Three of the most popular blogs from the first half of 2014 are about data scientists, and three more
In the rapidly evolving SQL-on-Hadoop space, IBM’s Big SQL 3.0 moves the industry forward through its contributions in improving query performance and workload management, while maintaining compatibility with open source Hive and SQL standard. This blog gets under the hood to explain how Big SQL 3.
SQL-on-Hadoop offerings, such as IBM InfoSphere BigInsights with Big SQL, can help IT departments leverage their existing expertise to move into the big data world. A new Big SQL technology preview is available so you can try it out for yourself.
The relational database world has decades of research and experience optimizing SQL access and providing the needed capabilities for mission critical environments. Now, new SQL-on-Hadoop offerings are popping up, which is helping IT departments leverage their existing expertise to move into the big
IBM® InfoSphere BigInsights upcoming release includes Big SQL 3.0, bringing performance, security and improved ROI to Hadoop projects. This is an important leap forward to seamlessly transitioning analytic applications from relational database management systems (RDBMS) to Hadoop distributions. In
If your new year resolutions include getting more familiar with big data and honing your skills, here’s a quick, easy-to-scan glimpse of some highlights you might have missed during your holiday celebrating. Think of these resources as items on the grab-and-go aisle in the café. Add a latte and get
Quick. Name one difference between data and big data. It’s bigger, of course, and it comes in faster, in more shapes and sizes. Sometimes it’s hard to sort the trustworthy from the noise. For a big data developer, the trick is to find tools and technologies that can be applied to traditional